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# to you under the Apache License, Version 2.0 (the
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#
#   http://www.apache.org/licenses/LICENSE-2.0
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from __future__ import annotations

import os
from datetime import datetime

from airflow import DAG
from airflow.providers.plexus.operators.job import PlexusJobOperator

HOME = "/home/acc"
T3_PRERUN_SCRIPT = "cp {home}/imdb/run_scripts/mlflow.sh {home}/ && chmod +x mlflow.sh".format(home=HOME)
ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
DAG_ID = "test"

with DAG(
    DAG_ID,
    default_args={"owner": "core scientific", "retries": 1},
    description="testing plexus operator",
    start_date=datetime(2021, 1, 1),
    schedule="@once",
    catchup=False,
) as dag:
    # [START plexus_job_op]
    t1 = PlexusJobOperator(
        task_id="test",
        job_params={
            "name": "test",
            "app": "MLFlow Pipeline 01",
            "queue": "DGX-2 (gpu:Tesla V100-SXM3-32GB)",
            "num_nodes": 1,
            "num_cores": 1,
            "prerun_script": T3_PRERUN_SCRIPT,
        },
    )
    # [END plexus_job_op]


from tests.system.utils import get_test_run  # noqa: E402

# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
test_run = get_test_run(dag)
